Triple
T11488473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Mercedes (TV series) |
E272342
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Gabriel Ebert
Gabriel Ebert is an American actor and singer best known for his Tony Award–winning performance in the Broadway musical "Matilda" and roles in film and television.
|
E928832
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gabriel Ebert | Statement: [Mr. Mercedes (TV series), starring, Gabriel Ebert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Ebert Context triple: [Mr. Mercedes (TV series), starring, Gabriel Ebert]
-
A.
Gabriel Brener
Gabriel Brener is a businessman and investor best known in sports for his former ownership stake in Major League Soccer’s Houston Dynamo.
-
B.
Gabriel Weinstein
Gabriel Weinstein is an actor best known for playing the character Trash.
-
C.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
-
D.
Gabriel Roman
Gabriel Roman is a wealthy and ruthless British treasure hunter who serves as the main antagonist in the video game Uncharted: Drake's Fortune.
-
E.
Garrett Gruener
Garrett Gruener is an American entrepreneur and venture capitalist best known as a co-founder of the early internet search engine Ask Jeeves.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gabriel Ebert Triple: [Mr. Mercedes (TV series), starring, Gabriel Ebert]
Generated description
Gabriel Ebert is an American actor and singer best known for his Tony Award–winning performance in the Broadway musical "Matilda" and roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabriel Ebert Target entity description: Gabriel Ebert is an American actor and singer best known for his Tony Award–winning performance in the Broadway musical "Matilda" and roles in film and television.
-
A.
Gabriel Brener
Gabriel Brener is a businessman and investor best known in sports for his former ownership stake in Major League Soccer’s Houston Dynamo.
-
B.
Gabriel Weinstein
Gabriel Weinstein is an actor best known for playing the character Trash.
-
C.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
-
D.
Gabriel Roman
Gabriel Roman is a wealthy and ruthless British treasure hunter who serves as the main antagonist in the video game Uncharted: Drake's Fortune.
-
E.
Garrett Gruener
Garrett Gruener is an American entrepreneur and venture capitalist best known as a co-founder of the early internet search engine Ask Jeeves.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a20df608190992543b4d7006f8a |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6046076d0819087766bf905825217 |
completed | April 20, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69e610a5ea0481908169c58dc0831b76 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6182b06f88190ab36d976ac989019 |
completed | April 20, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:36 p.m.